Commit Offshore

We are seeking an experienced Remote Independent Hardware Engineer to take end‑to‑end technical ownership of hardware designs.

This role is intended for a senior engineer who operates with a high level of autonomy, accountability, and engineering discipline, and who delivers results based on technical milestones.

The engineer will be responsible for the complete hardware lifecycle, including schematic design, component selection, bring‑up, validation, failure analysis, and sustaining engineering.
 

The role requires independent decision‑making, early identification and communication of technical risks, and close collaboration with remote hardware, software, FPGA, systems, and manufacturing teams.

Hardware bring‑up and validation activities will be performed in a hybrid model: part of the bring‑up will be conducted locally by the engineer using available equipment,

and part will be executed in remote or centralized laboratories, working in coordination with local hands‑on operators and engineers.
The engineer is responsible for defining structured bring‑up plans, test procedures, and debug strategies, and for analyzing and documenting results across both local and remote environments.
 

The engineer is expected to present and defend the hardware design in formal design reviews and surveys throughout the project, including schematic reviews, milestone reviews, and readiness reviews.

Clear presentation of design decisions, risks, trade‑offs, and validation status is a core responsibility of the role.

The position includes the ability to write basic microcontroller firmware (C/C++) to support hardware bring‑up and validation, such as GPIO control, peripheral configuration (I²C, SPI, UART, ADC, timers), and interface verification.
 

In addition, the engineer should have familiarity with FPGA‑based systems, including understanding common architectures,

reading existing HDL code (VHDL/Verilog) and performing basic debug or minor updates in support of hardware bring‑up and system integration.

Full ownership of embedded software or FPGA development is not required.

Key Qualifications:

• Proven experience in digital and mixed‑signal hardware design
• At least 6+ years of experience
• Hands‑on board bring‑up and hardware debug experience
• Ability to write basic microcontroller code for hardware validation
• Familiarity with FPGA systems and HDL at an integration/debug level
• Experience presenting designs in technical reviews and surveys
• Strong documentation, communication, and self‑management skills
• Ability to work effectively in a remote, high‑trust environment

We are a global AI-powered financial intelligence company that leverages proprietary AI and large language models to deliver investment research and insights across global markets. Our platform enables financial institutions and investors to access transparent, explainable, and multilingual analysis across equities, funds, and other financial instruments.

We are building scalable, production-grade AI systems that make high-quality financial research accessible and data-driven.

We are looking for a Mid Data Scientist / AI Engineer to develop and deploy machine learning and AI solutions, with exposure to LLM-based systems and modern NLP applications. You will collaborate with senior engineers to build scalable and reliable AI-driven products.

Requirements:

• 3+ years of commercial experience as a Data Science / AI Engineer
• Strong Python skills and solid software engineering fundamentals
• 1+ year of experience with LLM and NLP-related tasks
• Understanding of modern deep learning architectures
• Experience with at least one deep learning framework (TensorFlow or PyTorch)
• Experience with SQL and NoSQL databases
• Good knowledge of Docker
• Strong knowledge of object-oriented programming
• Hands-on experience with RAG pipelines and vector databases
• Experience with cloud platforms (AWS, Google Cloud, Azure)

We're looking for a hands-on Salesforce Implementer to join the company's Business Applications team. Solutions are already defined — this is a build-only role: you'll implement, configure, and automate business processes in Salesforce and supporting tools, and provide day-to-day operational support to users. You'll work as an individual contributor on a team of five implementers.
 

What You'll Do:

• Implement and configure already-defined solutions in Salesforce: objects, fields, layouts, profiles, permissions, and declarative automation (Flows, validation rules)
• Build and maintain automations between business applications
• Support users on day-to-day tasks, including data fixes and troubleshooting
• Collaborate with the in-house team on requirements that are already defined, keeping stakeholders informed on progress
• Ensure best practices in database management and data quality

• Support Sales tools and business applications globally
   

  Qualifications

• 2+ years of hands-on experience as a Salesforce implementer
• Salesforce automation: Flows, validation rules, declarative development 
• Salesforce data management: data fixes, Data Loader, reports, and dashboards 
• Integration fundamentals: APIs, webhooks, syncing data between business applications, 
• n8n / Make.com, Workat, /iPaaS, webhooks
• Experience with NetSuite, Outreach, HubSpot 
• Apex DML, trigger behavior, SOQL
• CRM concepts

We're hiring a Software Engineer and Security Researcher to help build our top-tier cybersecurity product. This is a hybrid role by design: a strong software engineer who also brings a deep cybersecurity background. Strong engineering velocity is how features get

shipped; serious security expertise is how those features get shipped right. You should have an understanding of how attackers and defenders actually operate.

The product space is CSPM/CNAPP-related, but extends beyond it. Expect to work across cloud posture, identity, attack paths, prioritization, detection, and adjacent areas as the product

evolves. The pace is high. AI is part of how we work, every day.

Responsibilities

• Design, build, and ship product features end-to-end: from security research to

  architecture and production code to release.

• Apply cybersecurity expertise to every feature decision: what to detect, how to model

  risk, what makes a finding actionable, where customers will be misled by noise, and how

  to translate raw cloud signal into something a security team can trust and act on.

• Own cloud security capabilities across CSPM and beyond: posture, identity, attack

  paths, severity/prioritization, detections, and emerging areas of the platform.

• Drive AI into the development loop. Use coding agents and LLM tools as a core part

  of how you design, prototype, build, debug, review, and document. Write strong prompts,

  evaluate outputs critically, and turn AI-generated work into production-quality code and

  logic.

• Move fast, with judgment. Make tradeoffs explicit, ship iteratively, and learn from real

  customer signals.

• Collaborate closely with product, research, and engineering peers: clear written specs,

  sharp communication, clean handoffs, customer-facing rationale.

Requirements

• 5+ years as a software engineer. You design systems, write production code, reason

  about reliability and edge cases, and own delivery end-to-end.

• Strong cybersecurity foundation. You understand threats, controls, identity, cloud risk,

  and why a “finding” is or isn’t worth a customer’s attention. This is what makes your

  feature decisions land.

• Hands-on experience developing with AI / AI-driven development. This is a MUST.

  You have meaningfully shipped work where coding agents, LLM tools, or in-IDE AI

  assistants were a core part of how you built it. You can speak in detail about what

  worked, what didn’t, and how you got real leverage out of these tools.

• Experience with at least one major cloud platform (AWS preferred; Azure or GCP also

  valid).

• Comfortable operating at high pace: small batches, fast iteration, willingness to cut

  scope to ship, calm under pressure.

• Strong communication: you can explain engineering and security tradeoffs to both

  technical and non-technical stakeholders.

Nice to Have

• Experience building CSPM/CNAPP products, cloud security detection/analytics

  pipelines, or other top-tier security products.

• Experience building or fine-tuning AI-powered developer workflows: custom agents,

  pipelines, evals, internal AI tooling, prompt frameworks.

• Familiarity with cloud telemetry/log sources and correlating security signals across

  configuration, identity, and activity.

• Infrastructure-as-Code (e.g., Terraform) and cloud-native development experience.

• Prior security research background: vulnerability research, threat research, or detection

  engineering.

We’re looking for a reliable, Finance and Admin Operations Specialist - Detail-oriented and Analytical thinking team member to support our daily financial operations.

Ideal for candidates with finance, admin, or accounting experience who want to grow their skills and contribute to impactful work.

Job Responsibilities

• Maintain financial trackers, prepare monthly reports, and manage bank payments.
• Reconcile invoices against bank transfers, hourly reports, and internal records.
• Actively develop and implement AI automation to streamline manual workflows.
• Manage vacation balances, employee agreement records, and payment-related queries.
• Provide proactive customer updates via email and maintain daily team communication.
• Utilize advanced Google Sheets skills and various accounting/financial systems.
• Leverage experience in international team environments and proficiency in Notion.
• Apply AI expertise or active coursework to optimize financial and admin processes.

Requirements

• Basic understanding of finance or accounting
• Strong Excel/Google Sheets skills
• Attention to detail, Analytical thinking and strong organizational habits
• Proactive, responsible, and ready to learn
• English level B2 or higher, Ukrainian native

We offer:

• A vacation package to support work-life balance
• A wellness package to promote health and wellbeing
• Access to learning courses and professional development resources
• Opportunities for growth and advancement within the team

We are looking for a Big Data Engineer to join our growing team. In this role, you will be responsible for the design and development of our big data processing engine — a heavy ETL pipeline handling complex logic including geo-location analysis, running across both cloud and on-prem environments.

Requirements:

• 4+ years of experience in Data Engineering
• 2+ years of hands-on experience with Scala (must) or Java (optional)
• 2+ years of experience with SQL and NoSQL DBs
• Hands-on experience with Spark & PySpark (must)
• Experience with Airflow (must)
• Experience with AWS and/or GCP
• Experience with Kubernetes (k8s) and on-prem deployments
• Solid understanding of distributed systems design, pipeline architecture, and partitioning strategies
• Deep understanding of Agile principles, practices and values
• Solid understanding of design patterns, software development techniques, and clean code practices
   

Advantage:

• Experience with Apache Iceberg, Helm Charts, or data catalog tools
• Experience with Spring Framework
• Experience with microservice architecture
• Experience working with DevOps and CI/CD practices
• Customer-facing experience or comfort working directly with clients
• Bachelor's, BSc or Master's degree in Computer Science or Engineering from a leading academic institution

We’re looking for a reliable Junior Finance Specialist to support our daily financial operations.

Ideal for candidates with finance, admin, or accounting experience who want to grow their skills and contribute to impactful work.

Job Responsibilities:

• Maintain financial trackers, prepare monthly reports, and manage bank payments.
• Reconcile invoices against bank transfers, hourly reports, and internal records.
• Manage vacation balances, employee agreement records, and payment-related queries.
• Provide proactive customer updates via email and maintain daily team communication.
• Utilize advanced Google Sheets skills and various accounting/financial systems.
• Leverage experience in international team environments and proficiency in Notion.

Requirements:

• Basic understanding of finance or accounting
• Strong Excel/Google Sheets skills
• Attention to detail, Analytical thinking and strong organizational skills
• Proactive, responsible, and ready to learn
• English level B2, Ukrainian native

We offer:

• A vacation package to support work-life balance
• A wellness package to promote health and wellbeing
• Access to learning courses and professional development resources
• Opportunities for growth and advancement within the team

Responsibilities
 

• Act as the primary point of contact for all MongoDB-related topics, including reviewing and approving configuration and setup changes.
• Maintain and support MongoDB databases across both Atlas and on-prem environments.
• Maintain and support SQL Server and PostgreSQL databases in on-prem and AWS environments.
• Monitor database systems for health, performance, and availability.
• Advise software engineers on SQL query optimization and database schema design.
• Minimize database downtime and manage High Availability (HA) and Disaster Recovery (DR) strategies.
• Plan and contribute to long-term scalability and database architecture.
• Implement database changes, apply patches, and manage version upgrades.
• Assist with building and maintaining data extraction pipelines from MongoDB and SQL Server.
• Participate in the on-call rotation to support production systems.
   

Requirements

• 4+ years of combined experience across data platforms, including at least 2 years in a DBA role (MongoDB and relational databases, infrastructure, and application support).
• Hands-on data engineering experience (Airflow preferred).
• AWS experience (minimum 1 year).
• Advanced T-SQL development skills.
• Proficiency with Git and modern code management workflows.
• Strong understanding of backup, recovery, security, and data integrity principles.
• Excellent problem-solving skills with strong algorithmic thinking.
• Ability to work effectively in a fast-paced environment and meet deadlines.
• Fluent in English.

We are looking to hire a strong BI developer and data analyst.

The role involves both data analytic and technical skills : gathering data, developing tools and dashboards,  evaluating data and sharing findings that affect business decisions.

Responsibilities:

• Working with different company departments and setting business requirements for BI tools
• Translating business requirements into technical ones
• Suggesting technical options to meet the requirements and creating an BI architecture. Providing time estimation
• Leading and executing BI software development, deployment, and maintenance:
  • Creating Power BI reports based on client requirements
  • Taking data from different data sources : databases, internal and external API, google sheets and more
  • Developing different visualization levels and dashboards
  • Maintaining and optimizing existing reports
  • Ensuring data correctness
  • Testing reports of other BI developers
• Creating technical documentation for BI tools
• Evaluating data, collating findings relevant to the business, and sharing them in a manner that can bring about an effective change in a business:
  • Breaking down key business data: gather, clean, and analyze data
  • Interpreting the data: Find patterns or see areas in the data that signal a potential for improvement in business practices

  • Sharing findings:visualizing data in graphs and charts, recommendations to improve or grow the business based on their findings

     

Required Skills/Abilities:

• At least 2 year experience in a BI developer & data Analyst role
• Experience with PowerBI including a good knowledge of DAX
• Deep knowledge of SQL Databases and SQL script optimisation
• Good knowledge of BigQuery
• Good knowledge of excel / Google sheet (formulas)
• Basic knowledge of Python
• Non relational database - advantage
• Advanced analysis and problem solving skills
• Attention to detail
• The ability to work both as a team player and independently
• Ability to multitask in a fast-paced environment
• Self learning abilities
• Excellent communication skills with ability to effectively interface with technical and nontechnical staff at all organizational levels
• Fluent in English

Must-Have Skills

• 5+ years of experience as a Cybersecurity Researcher (supply-chain attacks, malware analysis)
• Familiarity with open-source registry ecosystems (npm, PyPI, Maven) and their respective attack surfaces
• Proven ability to ship software in a production environment
• Strong understanding of the SDLC and modern CI/CD pipelines
• Comfortable leveraging AI tools to optimize research and development processes
• Proactive and independent mindset, with the ability to take full ownership of projects

Nice to Have

• Active contributions to open-source security tools or research projects
• Hands-on experience with decompilers, debuggers, and network traffic analysis
• Advanced malware analysis experience (obfuscation, encryption, anti-analysis, and sandbox-evasion techniques)
• Web application penetration testing experience
• Published CVEs, coordinated disclosures, writeups, blogs, or research papers
• Experience public speaking at major industry conferences (e.g., Black Hat, DEFCON, RSAC)
• A genuine passion for cybersecurity, open-source communities, and solving complex ecosystem threats

Key Responsibilities

• Serve as the primary point of contact for all MongoDB-related topics, including reviewing and approving configuration and deployment changes.
• Manage, maintain, and support MongoDB databases across Atlas and on-premise environments.
• Administer and support SQL Server and PostgreSQL databases in both on-premise and AWS environments.
• Continuously monitor database health, performance, and availability.
• Collaborate with software engineers to optimize SQL queries and improve database schema design.
• Ensure high availability (HA) and implement robust disaster recovery (DR) strategies to minimize downtime.
• Contribute to long-term database architecture planning and scalability initiatives.
• Execute database changes, apply patches, and manage version upgrades.
• Support the design and maintenance of data extraction pipelines from MongoDB and SQL Server.

• Participate in an on-call rotation to support production systems as needed.

  
  Requirements

• 2 years of experience with Team Management
• 4+ years of experience working with data platforms, including at least 2 years in a DBA role supporting MongoDB and relational databases (infrastructure and application support).
• Hands-on experience in data engineering (Airflow preferred).
• Minimum 1 year of hands-on experience with AWS.
• Advanced T-SQL development and performance tuning skills.
• Experience with Git and modern version control workflows.
• Strong knowledge of backup, recovery, security, and data integrity best practices.
• Excellent analytical and problem-solving skills, with strong algorithmic thinking.
• Ability to thrive in a fast-paced environment and manage multiple priorities.

• Fluent English (written and spoken).

   

  Nice to Have

• Experience with dbatools, Redgate SQL Toolbelt, and Coralogix.
• Familiarity with CI/CD pipelines and database change management tools such as Liquibase.

We’re hiring a Security Backend Engineer for our Security Research group to build the systems that power our open-source intelligence efforts - ingesting public package ecosystems (NPM, PyPI), continuously monitoring them, and detecting malicious behavior at scale.
 

This role focuses on building the infrastructure behind large-scale open-source intelligence, package ecosystem monitoring, and supply chain threat detection. It is a highly autonomous individual contributor role with end-to-end ownership of projects, turning security research prototypes into scalable production systems.

Responsibilities

• Build scalable scraping and ingestion pipelines for public package registries such as NPM, PyPI, and similar ecosystems
• Design and maintain distributed systems using APIs, workers, queues, and databases
• Develop detection mechanisms for:
  • malicious install hooks
  • embedded binaries
  • obfuscation techniques
  • suspicious package behavior
• Build and improve risk-scoring algorithms to prioritize real threats
• Work closely with security researchers to productionize detection capabilities

Requirements

Must Have

• 5+ years of backend development experience with Python and/or Node.js / TypeScript
• Hands-on experience with large-scale scraping systems
• Strong knowledge of distributed architectures, including:
  • queues
  • workers
  • PostgreSQL
  • Redis
• Production experience with Docker / docker-compose
• Strong ownership mindset and ability to work autonomously

• Full professional English proficiency

   

Strong Advantage

• Malware analysis or reverse engineering experience
• Familiarity with ELF, PE, or Mach-O formats

• Background in security research or software supply-chain security

   

Nice to Have

• CTF participation
• Bug bounty experience
• OSCP / OSWE certifications
• Experience at companies in application security, supply-chain security, or developer security tooling
• Kafka and large-scale ETL experience

We are looking for a dedicated Tier-2 IT Support Engineer to support APAC users. The role focuses on providing timely, professional IT support in line with company policies and SLAs, including hardware support, onboarding/offboarding, ITSM ticket handling, and workplace IT maintenance.

Seniority: Mid-level (Tier-2, ~2–4 years hands-on desktop/field support experience)

Core Responsibilities

1. IT Support & Hardware Maintenance

● Troubleshoot and repair hardware issues (laptops, docks, monitors, peripherals, cables) 

● Maintain and support end-user workstations 

● Manage setup and maintenance of docking stations, screens, and accessories 

2. ITSM & Ticket Management

● Handle IT support requests via client ITSM system 

● Ensure SLA compliance and timely resolution of tickets 

● Maintain daily service reporting (ticket volume, SLA performance, user feedback) 

3. Onboarding & Offboarding

● Prepare and configure laptops for new hires 

● Perform user account setup and access provisioning 

● Manage employee offboarding, including device recovery and access removal 

4. AV & Meeting Room Support

● Provide support for conference room AV systems 

● Troubleshoot meeting room connectivity and equipment issues 

5. Infrastructure & Network Room Support

● Perform basic network room maintenance under client guidance 

● Assist with connectivity-related troubleshooting (basic level) 

6. IT Asset & Inventory Management

● Maintain IT asset inventory and perform regular stocktakes 

● Manage spare laptops and ensure readiness of stock devices 

● Perform monthly inventory reconciliation 

7. Device Imaging & Deployment 

● Prepare and image laptops for deployment 

● Support MDM tools and device provisioning (where applicable) 

8. Security & Compliance

● Follow IT security policies and device hardening standards 

● Ensure proper handling of PII and secure data practices 

● Support media sanitization and secure device disposal 

9. Team Collaboration & Reporting

● Participate in Tier-2 IT support meetings and training sessions 

● Support team coverage and backfill when required 

● Contribute to continuous service improvement initiatives

Required Skills 

● Hardware troubleshooting & break/fix (laptops, peripherals, docking stations) 

● ITSM/ticketing systems experience with SLA adherence 

● Microsoft 365 administration and end-user support 

● Okta (SSO, identity & access management) 

● AV / conference room support 

● Onboarding/offboarding processes 

● Basic networking knowledge (network room support under guidance) 

● IT security & compliance awareness 

● Strong English communication skills

Nice to Have 

● Experience supporting APAC / multi-site environments 

● IT asset & inventory management experience 

● Experience with imaging/MDM tools (Intune, Autopilot, Jamf) 

● Experience with reporting, documentation, and operational tracking

We are a well-funded, fast-growing startup that enables publishers to create a white-label, highly customizable web store solution within 24 hours. Our platform allows publishers to offer virtual game goods for purchase, enhancing the gaming experience for their customers.

As a QA Specialist for our gaming-focused white-label solution, you will:

• Conduct thorough testing of the platform’s features and functionalities, ensuring a high-quality and bug-free experience.
• Identify, document, and report bugs and issues to the development team for resolution.
• Collaborate closely with development and product teams to uphold quality standards throughout the development process.
• Design, implement, and maintain automated test suites, primarily using Playwright, to enhance testing efficiency.
• Develop comprehensive test plans and test cases that encompass both manual and automated testing strategies.
• Participate in continuous improvement initiatives to streamline QA processes and tools.
  
   

Qualifications:

• 5 years of hands-on experience in both automated and manual QA in a Fintech company- MUST
• Proven expertise with automation tools and frameworks, specifically Playwright
• Experience testing alternative payment methods, local payment methods, wallets, or region-specific payment behavior (Apple Pay, Google Pay, etc.) - MUST
• Solid experience testing REST APIs and validating third-party integrations (webhooks, callbacks, signatures, idempotency)
• Strong UI testing experience across web applications, browsers, devices, and responsive layouts — including mobile Safari and Android Chrome.

Must-Have Skills

• Go / Rust / TypeScript (20%) — core stack; strong proficiency in at least one, ideally two
• Multithreaded & concurrent programming (18%) — critical requirement; proven experience with real parallel systems
• Performance profiling & optimization (15%) — CPU/memory management under real production load on dedicated hardware
• Docker & containerization (13%) — deploying and managing containerized workloads
• Edge computing / embedded systems (13%) — experience building for resource-constrained environments
• Networking & distributed systems (12%) — solid fundamentals; building reliable comms between edge and cloud
• Real-time systems (9%) — low-latency design and delivery

Nice-to-Have Skills

• Video streaming / pipeline development
• Storage systems & data management at the edge
• Cloud services integration (AWS S3, GCP, MQTT, Kafka)
• AI/ML model deployment on edge devices
• Security concepts (encryption, secure communication, zero trust)

Responsibilities

• Contribute to the core edge platform running across diverse hardware in a hybrid edge-cloud architecture
• Develop and integrate video management capabilities: streaming, recording, real-time AI processing
• Design and optimize for low-latency, high-performance workloads at the edge
• Build secure, efficient communication pipelines between edge devices and cloud systems
• Work with AI/ML engineers to deploy and optimize on-device models
• Own performance under load — profile CPU/memory, identify bottlenecks, fix them
• Participate in code reviews, debugging, and performance tuning across the stack